Zhou, Yu, Smith, Melvyn, Smith, Lyndon, Farooq, Abdul and Warr, Robert (2011) Enhanced 3D curvature pattern and melanoma diagnosis. Computerized Medical Imaging and Graphics, 35 (2). pp. 155-165. ISSN 08956111
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Official URL: http://dx.doi.org/10.1016/j.compmedimag.2010.10.00...
This article describes an enhanced curvature pattern based melanoma diagnosis system using convolution techniques and ensemble classifiers. We extract the 3D data of melanoma with a photometric stereo device first. Then differential forms of the melanoma surface can be extracted with the convolution method proposed. After extracting 3D based differential forms, statistical moments of enhanced principal curvatures of skin surfaces are calculated to describe the geometrical texture patterns. Finally, ensemble classifiers are constructed whose optimal mean sensitivity and specificity can reach 89.24 percent and 87.62 percent respectively. Comparisons with skin tilt/slant pattern based 3D shape characterization method and 2D methods like color variation and border irregularity are also included.
|Uncontrolled Keywords (separate with ;):||Shape analysis; Melanoma; Convolution; Curvature; Ensemble classifier|
|Subjects:||Engineering > Civil engineering|
|Schools:||Faculty of Science and Technology > School of Engineering|
|Deposited By:||Carmit Erez|
|Deposited On:||16 Apr 2013 16:38|
|Last Modified:||09 Aug 2016 15:18|
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